Speed Performance Improvement Of Three-Phase Induction Motor Drives Using Adaptive Sliding Mode Controller

The induction motor is widely used in industrial applications. The most type of induction motor used in the industrial applications is three-phase squirrel cage AC induction motor. Several industrial applications use the induction motor because of its ruggedness, reliability and relatively low cost....

Full description

Saved in:

Bibliographic Details
Main Author:	Mohd Aziri, Muhammad Hasif
Format:	Thesis
Language:	English English
Published:	2020
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://eprints.utem.edu.my/id/eprint/25378/1/Speed%20Performance%20Improvement%20Of%20Three-Phase%20Induction%20Motor%20Drives%20Using%20Adaptive%20Sliding%20Mode%20Controller.pdf http://eprints.utem.edu.my/id/eprint/25378/2/Speed%20Performance%20Improvement%20Of%20Three-Phase%20Induction%20Motor%20Drives%20Using%20Adaptive%20Sliding%20Mode%20Controller.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utem-ep.25378
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Sulaiman, Marizan
topic	T Technology (General) TJ Mechanical engineering and machinery
spellingShingle	T Technology (General) TJ Mechanical engineering and machinery Mohd Aziri, Muhammad Hasif Speed Performance Improvement Of Three-Phase Induction Motor Drives Using Adaptive Sliding Mode Controller
description	The induction motor is widely used in industrial applications. The most type of induction motor used in the industrial applications is three-phase squirrel cage AC induction motor. Several industrial applications use the induction motor because of its ruggedness, reliability and relatively low cost. However, more complexity control scheme is required for the induction motor because it is highly non-linear in a dynamic structure. In addition, the rotor currents and flux-linkage of induction motor also cannot be directly measured. The modified classical sliding mode control (SMC) algorithm is developed based on the conventional robust controller with the adaption of switching gain and discontinuous sigmoid functions to eliminate the undesirable chattering phenomenon. The main focus of this research is to design a sliding mode control strategy that provides speed performance improvement of delay time (td), rise time (tr), peak time (tp), maximum % overshoot (Mp), settling time (ts) and steady-state error (ess) for the three-phase induction motor drives. More specifically, research objectives are to design a sliding mode controller by using an adaptive control strategy and compare with conventional SMC and PI speed controller. Then, the developed speed controller is implemented in an experimental rig based on indirect field-oriented control (IFOC) by using the digital signal processor (DSP) to achieve high performance control characteristics in controlling torque and rotor flux effectively. The PI or PID controllers are tuned to improve speed control issues of AC induction motor due to load variations and changes in parameters. However, the conventional strategy of the PI controller is realized cannot achieve better performance when the input of load variations are applied. Specifically, the algorithm to overcome these issues is proposed by using an ASMC and the speed control performances are tested in simulation by using PSIM software. Practically, the experimental works on hardware rigs are based on high voltage digital motor control (HVDMC) with power factor correction (PFC) from Texas Instruments (TI) that attached with the floating-point of TMS320F28335 DSP to analyze and validate the performance of an ASMC control algorithm. Moreover, the features of an ASMC are compared with conventional SMC and PI controller to improve the performance of an ASMC control algorithm. As a result, highperformance control of AC induction motor is achieved for different speed commands and loaded conditions as compared to conventional controllers. Technically, simulated results at 1400rpm with no-load conditions of maximum % overshoot (ASMC, Mp=14.4%), (SMC, Mp=24.42%), (PI, Mp=30.41%) and steady-state error (ASMC, ess=1.76rpm), (SMC, ess=6.02rpm), (SMC, ess=2.23rpm) are clearly summarized the ASMC is more superior performances compared with differences speed controllers of SMC and PI respectively. Supremely, experimental results for the ASMC at 1400rpm with no-load conditions of maximum % overshoot (Mp=0.28%) and steady-state error (ess=3.21rpm) are achieved comprehensive performances. Apart from this, the benefit of this research work is importantly desired for the non-linear of the AC motor to achieved dynamic performances such as fast response and also practically used at variable speed conditions.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Mohd Aziri, Muhammad Hasif
author_facet	Mohd Aziri, Muhammad Hasif
author_sort	Mohd Aziri, Muhammad Hasif
title	Speed Performance Improvement Of Three-Phase Induction Motor Drives Using Adaptive Sliding Mode Controller
title_short	Speed Performance Improvement Of Three-Phase Induction Motor Drives Using Adaptive Sliding Mode Controller
title_full	Speed Performance Improvement Of Three-Phase Induction Motor Drives Using Adaptive Sliding Mode Controller
title_fullStr	Speed Performance Improvement Of Three-Phase Induction Motor Drives Using Adaptive Sliding Mode Controller
title_full_unstemmed	Speed Performance Improvement Of Three-Phase Induction Motor Drives Using Adaptive Sliding Mode Controller
title_sort	speed performance improvement of three-phase induction motor drives using adaptive sliding mode controller
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Electrical Enginering
publishDate	2020
url	http://eprints.utem.edu.my/id/eprint/25378/1/Speed%20Performance%20Improvement%20Of%20Three-Phase%20Induction%20Motor%20Drives%20Using%20Adaptive%20Sliding%20Mode%20Controller.pdf http://eprints.utem.edu.my/id/eprint/25378/2/Speed%20Performance%20Improvement%20Of%20Three-Phase%20Induction%20Motor%20Drives%20Using%20Adaptive%20Sliding%20Mode%20Controller.pdf
_version_	1747834113093533696
spelling	my-utem-ep.253782021-10-27T16:11:19Z Speed Performance Improvement Of Three-Phase Induction Motor Drives Using Adaptive Sliding Mode Controller 2020 Mohd Aziri, Muhammad Hasif T Technology (General) TJ Mechanical engineering and machinery The induction motor is widely used in industrial applications. The most type of induction motor used in the industrial applications is three-phase squirrel cage AC induction motor. Several industrial applications use the induction motor because of its ruggedness, reliability and relatively low cost. However, more complexity control scheme is required for the induction motor because it is highly non-linear in a dynamic structure. In addition, the rotor currents and flux-linkage of induction motor also cannot be directly measured. The modified classical sliding mode control (SMC) algorithm is developed based on the conventional robust controller with the adaption of switching gain and discontinuous sigmoid functions to eliminate the undesirable chattering phenomenon. The main focus of this research is to design a sliding mode control strategy that provides speed performance improvement of delay time (td), rise time (tr), peak time (tp), maximum % overshoot (Mp), settling time (ts) and steady-state error (ess) for the three-phase induction motor drives. More specifically, research objectives are to design a sliding mode controller by using an adaptive control strategy and compare with conventional SMC and PI speed controller. Then, the developed speed controller is implemented in an experimental rig based on indirect field-oriented control (IFOC) by using the digital signal processor (DSP) to achieve high performance control characteristics in controlling torque and rotor flux effectively. The PI or PID controllers are tuned to improve speed control issues of AC induction motor due to load variations and changes in parameters. However, the conventional strategy of the PI controller is realized cannot achieve better performance when the input of load variations are applied. Specifically, the algorithm to overcome these issues is proposed by using an ASMC and the speed control performances are tested in simulation by using PSIM software. Practically, the experimental works on hardware rigs are based on high voltage digital motor control (HVDMC) with power factor correction (PFC) from Texas Instruments (TI) that attached with the floating-point of TMS320F28335 DSP to analyze and validate the performance of an ASMC control algorithm. Moreover, the features of an ASMC are compared with conventional SMC and PI controller to improve the performance of an ASMC control algorithm. As a result, highperformance control of AC induction motor is achieved for different speed commands and loaded conditions as compared to conventional controllers. Technically, simulated results at 1400rpm with no-load conditions of maximum % overshoot (ASMC, Mp=14.4%), (SMC, Mp=24.42%), (PI, Mp=30.41%) and steady-state error (ASMC, ess=1.76rpm), (SMC, ess=6.02rpm), (SMC, ess=2.23rpm) are clearly summarized the ASMC is more superior performances compared with differences speed controllers of SMC and PI respectively. Supremely, experimental results for the ASMC at 1400rpm with no-load conditions of maximum % overshoot (Mp=0.28%) and steady-state error (ess=3.21rpm) are achieved comprehensive performances. Apart from this, the benefit of this research work is importantly desired for the non-linear of the AC motor to achieved dynamic performances such as fast response and also practically used at variable speed conditions. 2020 Thesis http://eprints.utem.edu.my/id/eprint/25378/ http://eprints.utem.edu.my/id/eprint/25378/1/Speed%20Performance%20Improvement%20Of%20Three-Phase%20Induction%20Motor%20Drives%20Using%20Adaptive%20Sliding%20Mode%20Controller.pdf text en public http://eprints.utem.edu.my/id/eprint/25378/2/Speed%20Performance%20Improvement%20Of%20Three-Phase%20Induction%20Motor%20Drives%20Using%20Adaptive%20Sliding%20Mode%20Controller.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=119719 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Electrical Enginering Sulaiman, Marizan 1. A.Moreno, J., 2012. A Lyapunov approach to output feedback control using second-order sliding modes. IMA Journal of Mathematical Control and Information, 29 (3), pp.291–308. 2. Ahmad, I. and Tripathi, R.K., 2012. Indirect field oriented control (IFOC) of induction motor using SVPWM fed with Z-source inverter. Students Conference on Engineering and Systems, SCES, pp.1–5. 3. Akpolat, Z.H., Asher, G.M., and Clare, J.C., 2000. A Practical Approach to the Design of Robust Speed Controllers for Machine Drives. IEEE Transactions on Industrial Electronics, 47 (2), pp.315–324. 4. Alahakoon, S., Fernando, T., Trinh, H., and Sreeram, V., 2013. Unknown input sliding mode functional observers with application to sensorless control of permanent magnet synchronous machines. Journal of the Franklin Institute, 350 (1), pp.107–128. 5. Alfaro, C.E., McGookin, E.W., Murray-Smith, D.J., and Fossen, T.I., 2005. Genetic algorithms optimisation of decoupled Sliding Mode controllers: Simulated and real results. Control Engineering Practice, 13 (6), pp.739–748. 6. Ali, J.A., A, H.M., and Mohamed, A., 2016. Improve Indirect Field-Oriented Control Of Induction Motor Drive Based PSO Algorithm. Jurnal Teknologi, 78, pp.27–32. 7. Aziri, H., Patakor, F.A., Sulaiman, M., and Salleh, Z., 2017. Comparison performances of indirect field oriented control for three-phase induction motor drives. International Journal of Power Electronics and Drive Systems, 8 (4), pp.1682–1692. 8. Barambones, O. and Alkorta, P., 2011. A robust vector control for induction motor drives with an adaptive sliding-mode control law. Journal of the Franklin Institute, 348 (2), pp.300–314. 9. Barambones, O., Alkorta, P., Garrido, A.J., Garrido, I., and Maseda, F.J., 2007. An adaptive sliding mode control scheme for induction motor drives. International Journal of Circuits, Systems and Signal Processing, 1 (1), pp.73–78. 10. Bartolini, G., Ferrara, A., Giacomini, L., and Usai, E., 2000. Properties of a combined adaptive/second-order sliding mode control algorithm for some classes of uncertain nonlinear systems. IEEE Transactions on Automatic Control, 45 (7), pp.1334–1341. 11. Basic, M. and Vukadinovic, D., 2013. Vector control system of a self-excited induction generator including iron losses and magnetic saturation. Control Engineering Practice, 21 (4), pp.395–406. 12. Benchabane, F., Titaouine, A., Bennis, O., Yahia, K., and Taibi, D., 2012. Direct field oriented control scheme for space vector modulated AC/DC/AC converter fed induction motor. Frontiers in Energy, 6 (2), pp.129–137. 13. Benchaib, A., Rachid, A., and Audrezet, E., 1999a. Sliding mode input-output linearization and field orientation for real-time control of induction motors. IEEE Transactions on Power Electronics, 14 (1), pp.3–13. 14. Benchaib, A., Rachid, A., Audrezet, E., and Tadjine, M., 1999b. Real-time sliding-mode observer and control of an induction motor. IEEE Transactions on Industrial Electronics, 46 (1), pp.128–138. 15. Bennassar, A., Banerjee, S., Jamma, M., Essalmi, A., and Akherraz, M., 2018. Real Time High Performance of Sliding Mode Controlled Induction Motor Drives. Procedia Computer Science, 132 (Iccids), pp.971–982. 16. Boiko, I. and Fridman, L., 2005. Analysis of Chattering in Continuous Sliding-Mode Controllers. IEEE Transactions on Automatic Control, 50 (9), pp.1442–1446. 17. Bojoi, R., Farina, F., Griva, G., Profumo, F., and Tenconi, A., 2005. Direct Torque Control for Dual Three-Phase Induction Motor Drives. IEEE Transactions on Industry Applications, 41 (6), pp.1627–1636. 18. Bojoi, R., Guglielmi, P., and Pellegrino, G.M., 2008. Sensorless direct field-oriented control of three-phase induction motor drives for low-cost applications. IEEE Transactions on Industry Applications, 44 (2), pp.475–481. 19. Bouafia, A., Gaubert, J.P., and Krim, F., 2010. Design and implementation of predictive current control of three-phase PWM rectifier using space-vector modulation (SVM). Energy Conversion and Management, 51 (12), pp.2473–2481. 20. Bouhoune, K., Yazid, K., Boucherit, M.S., and Chériti, A., 2017. Hybrid control of the three phase induction machine using artificial neural networks and fuzzy logic. Applied Soft Computing, 55, pp.289–301. 21. Boulkroune, A., Tadjine, M., M‘Saad, M., and Farza, M., 2008. How to design a fuzzy adaptive controller based on observers for uncertain affine nonlinear systems. Fuzzy Sets and Systems, 159 (8), pp.926–948. 22. Boussak, M. and Jarray, K., 2006. A high-performance sensorless indirect stator flux orientation control of induction motor drive. IEEE Transactions on Industrial Electronics, 53 (1), pp.41–49. 23. Broeck, H.W., Skudelny, H.C., and Stanke, G.V., 1988. Analysis and realization of a pulsewidth modulator based on voltage space vectors. IEEE Transactions on Industry Applications, 24 (1), pp.142–150. 24. Buja, G.S. and Kazmierkowski, M.P., 2004. Direct torque control of PWM inverter-fed AC motors - a survey. IEEE Transactions on Industrial Electronics, 51 (4), pp.744–757. 25. Castillo, T.B., Di Gennaro, S., Loukianov, A.G., and Rivera, J., 2008. Discrete time sliding mode control with application to induction motors. Automatica, 44 (12), pp.3036–3045. 26. Chattopadhyay, A.K., 1997. Advances in vector control of ac motor drives - A review. Sadhana Springer India, 22 (December), pp.797–820. 27. Chen, H. and Zhao, H., 2016. Review on pulse-width modulation strategies for common-mode voltage reduction in three-phase voltage-source inverters. IET Power Electronics, 9 (14), pp.2611–2620. 28. Chen, H.M., Renn, J.C., and Su, J.P., 2005. Sliding mode control with varying boundary layers for an electro-hydraulic position servo system. International Journal of Advanced Manufacturing Technology, 26 (1–2), pp.117–123. 29. Chen, M.-S., Hwang, Y.-R., and Tomizuka, M., 2002. A State-Dependent Boundary Layer Design for Sliding Mode Control. IEEE Transactions on Automatic Control, 47 (10), pp.1677–1681. 30. Chen, P.C., Chen, C.W., and Chiang, W.L., 2009. GA-based modified adaptive fuzzy sliding mode controller for nonlinear systems. Expert Systems with Applications, 36 (3), pp.5872–5879. 31. Chen, T.C. and Sheu, T.T., 2002. Model reference neural network controller for induction motor speed control. IEEE Transactions on Energy Conversion, 17 (2), pp.157–163. 32. Chin, C.S. and Lin, W.P., 2018. Robust Genetic Algorithm and Fuzzy Inference Mechanism Embedded in a Sliding-Mode Controller for an Uncertain Underwater Robot. IEEE/ASME Transactions on Mechatronics, 23 (2), pp.655–666. 33. Cho, D.H., Kim, J.K., Jung, H.K., and Lee, C.G., 2003. Optimal design of permanent-magnet motor using autotuning niching genetic algorithm. IEEE Transactions on Magnetics, 39 (3 I), pp.1265–1268. 34. Comanescu, M., 2009. An induction-motor speed estimator based on integral sliding-mode current control. IEEE Transactions on Industrial Electronics, 56 (9), pp.3414–3423. 35. Domínguez, J.R., 2015. Discrete-Time Modeling and Control of Induction Motors by Means of Variational Integrators and Sliding Modes. IEEE Transactions on Industrial Electronics, 62 (10), pp.6183–6193. 36. Dominic, D.A. and Chelliah, T.R., 2014. Analysis of field-oriented controlled induction motor drives under sensor faults and an overview of sensorless schemes. ISA Transactions, 53 (5), pp.1680–1694. 37. Ebrahim, O.S., Salem, M.F., Jain, P.K., and Badr, M.A., 2010. Application of linear quadratic regulator theory to the stator field-oriented control of induction motors. IET Electric Power Applications, 4 (8), pp.637–646. 38. Echeikh, H., Trabelsi, R., Iqbal, A., and Mimouni, M.F., 2018. Real time implementation of indirect rotor flux oriented control of a five-phase induction motor with novel rotor resistance adaption using sliding mode observer. Journal of the Franklin Institute, 355 (5), pp.2112–2141. 39. Edwards, C. and Shtessel, Y.B., 2016. Adaptive continuous higher order sliding mode control. Automatica, 65 (1), pp.183–190. 40. Efimov, D., Polyakov, A., Fridman, L., and Perruquetti, W., 2016. Delayed Sliding Mode Control. Automatica, 64, pp.37–43. 41. Fallaha, C.J., Saad, M., Zomorrodi, A., Member, S., and Al-haddad, K., 2011. Sliding-Mode Robot Control With Exponential Reaching Law. IEEE Transactions on Industrial Electronics, 58 (2), pp.600–610. 42. Fan, Y., Zhang, L., Cheng, M., and Chau, K.T., 2015. Sensorless SVPWM-FADTC of a New Flux-Modulated Permanent-Magnet Wheel Motor Based on a Wide-Speed Sliding Mode Observer. IEEE Transactions on Industrial Electronics, 62 (5), pp.3143–3151. 43. Feng, G., Liu, Y.-F., and Huang, L., 2004. A New Robust Algorithm to Improve The Dynamic Performance on The Speed Control of Induction Motor Drive. IEEE Transactions on Power Electronics, 19 (6), pp.1614–1627. 44. Finch, J.W. and Giaouris, D., 2008. Controlled AC Electrical Drives. IEEE Transactions on Industrial Electronics, 55 (2), pp.481–491. 45. Fridman, L., Levant, A., and Davila, J., 2009. High-order sliding modes observer for linear systems with unbounded unknown inputs. IFAC Proceedings Volumes, 42 (17), pp.216–221. 46. Fu, T.J. and Xie, W.F., 2005. A novel sliding-mode control of induction motor using space vector modulation technique. ISA Transactions, 44 (4), pp.481–490. 47. Gadoue, S.M., Giaouris, D., and Finch, J.W., 2010. MRAS Sensorless Vector Control of an Induction Motor Using New Sliding-Mode and Fuzzy-Logic Adaptation Mechanisms. IEEE Transactions on Energy Conversion, 25 (2), pp.394–402. 48. Gang, L. and Cong, Z., 2013. Sliding mode control of reaction flywheel-based brushless DC motor with buck converter. Chinese Journal of Aeronautics, 26 (4), pp.967–975. 49. Ghaemi, M., Akbarzadeh-T, M.R., and Jalaeian-F, M., 2012. Adaptive Interval Type-2 Fuzzy PI Sliding Mode Control with optimization of membership functions using genetic algorithm. International Conference on Computer and Knowledge Engineering, ICCKE, 12 (5), pp.123–128. 50. Golabi, S., Babaei, E., Sharifian, M.B.B., and Golabi, Z., 2014. Application of Speed, Rotor Flux, Electromagnetic, Load Torque Observers and Diagnostic System in a Vector-Controlled High-Power Traction Motor Drive. Arabian Journal for Science and Engineering, 39 (4), pp.2979–2996. 51. Gravani, M.N., Hadjileontiadou, S.J., Nikolaidou, G.N., and Hadjileontiadis, L.J., 2007. Professional learning: A fuzzy logic-based modelling approach. Learning and Instruction, 17 (2), pp.235–252. 52. Gunabalan, R., Sanjeevikumar, P., Blaabjerg, F., Ojo, O., and Subbiah, V., 2015. Analysis and Implementation of Parallel Connected Two-Induction Motor Single-Inverter Drive by Direct Vector Control for Industrial Application. IEEE Transactions on Power Electronics, 30 (12), pp.6472–6475. 53. Guo, Z., Zhang, J., Sun, Z., and Zheng, C., 2017. Indirect Field Oriented Control of Three-phase Induction Motor Based on Current-source Inverter. 13th Global Congress on Manufacturing and Management, 174, pp.588–594. 54. Herrmann, G., Spurgeon, S.K., and Edwards, C., 2001. A new approach to discretization applied to a continuous, nonlinear, sliding-mode-like control using nonsmooth analysis. IMA Journal of Mathematical Control and Information, 18 (2), pp.161–187. 55. Hinkkanen, M., 2004. Analysis and design of full-order flux observers for sensorless induction motors. IEEE Transactions on Industrial Electronics, 51 (5), pp.1033–1040. 56. Holtz, J., 2002. Sensorless Control of Induction Motor Drives. Proceedings of the IEEE, 90 (8), pp.1359–1394. 57. Holtz, J., 2006. Sensorless Control of Induction Machines — With or Without Signal Injection ? IEEE Transactions on Industrial Electronics, 53 (1), pp.7–30. 58. Hwi, B.S., 2002. New antiwindup PI controller for variable-speed motor drives. IEEE Transactions on Industrial Electronics, 45 (3), pp.445–450. 59. Jahns, T.M. and Owen, E.L., 2001. AC Adjustable-Speed Drives at the Millennium : How Did We Get Here ? IEEE Transactions on Power Electronics, 16 (1), pp.17–25. 60. Jain, J.K., Ghosh, S., Maity, S., and Dworak, P., 2017. Concurrent PI Controller Design for Indirect Vector Controlled Induction Motor. ISA Transactions, 70, pp.378–388. 61. Jamoussi, K., Chrifi-Alaoui, L., Benderradji, H., El Hajjaji, A., and Ouali, M., 2013. Robust sliding mode control using adaptive switching gain for induction motors. International Journal of Automation and Computing, 10 (4), pp.303–311. 62. Jang, D.H., 2013. Problems incurred in a vector-controlled single-phase induction motor, and a proposal for a vector-controlled two-phase induction motor as a replacement. IEEE Transactions on Power Electronics, 28 (1), pp.526–536. 63. Jannati, M., Anbaran, S.A., Asgari, S.H., Goh, W.Y., Monadi, A., Aziz, M.J.A., and Idris, N.R.N., 2017. A review on Variable Speed Control techniques for efficient control of Single-Phase Induction Motors: Evolution, classification, comparison. Renewable and Sustainable Energy Reviews, 75 (April), pp.1306–1319. 64. Jessen, C., and Pei, C.T., 2002. A sliding mode current control scheme for PWM brushless DC motor drives. IEEE Transactions on Power Electronics, 14 (3), pp.541–551. 65. Jezernik, K., Member, S., Horvat, R., and Milan, Č., 2013. A Switching Control Strategy for the Reduction of Torque Ripple for PMSM. IEEE Transactions on Industrial Informatics, 9 (3), pp.1272–1279. 66. Jouili, M., Jarray, K., Koubaa, Y., and Boussak, M., 2012. Luenberger state observer for speed sensorless ISFOC induction motor drives. Electric Power Systems Research, 89, pp.139–147. 67. Jung, J. and Nam, K., 1999. A dynamic decoupling control scheme for high-speed operation of induction motors. IEEE Transactions on Industrial Electronics, 46 (1), pp.100–110. 68. Karanayil, B., Rahman, M.F., and Grantham, C., 2004. An implementation of a programmable cascaded low-pass filter for a rotor flux synthesizer for an induction motor drive. IEEE Transactions on Power Electronics, 19 (2), pp.257–263. 69. Kazmierkowski, M.P. and Malesani, L., 1998. Current control techniques for three-phase voltage-source pwm converters: A survey. IEEE Transactions on Industrial Electronics, 45 (5), pp.691–703. 70. Kazmierkowski, M.P. and Sulkowski, W., 1991. A Novel Vector Control Scheme for Transistor PWM Inverter-Fed Induction Motor Drive. IEEE Transactions on Industrial Electronics, 38 (1), pp.41–47. 71. Khan, M.R., Iqbal, A., and Ahmad, M., 2008. MRAS-based sensorless control of a vector controlled five-phase induction motor drive. Electric Power Systems Research, 78 (8), pp.1311–1321. 72. Kharaajoo, M.J., Ebrahimirad, H., Yazdanpanah, M.J., and Labibi, B., 2003. Digital Sliding Mode Position Control of an Induction Motor. IFAC Proceedings Volumes, 36 (11), pp.169–174. 73. Klimenta, D., Hannukainen, A., and Arkkio, A., 2018. Estimating the parameters of induction motors in different operating regimes from a set of data containing the rotor cage temperature. Electrical Engineering, 100 (1), pp.139–150. 74. Komurcugil, H., 2012. Rotating-Sliding-Line-Based Sliding-Mode Control for Single-Phase UPS Inverters. IEEE Transactions on Industrial Electronics, 59 (10), pp.3719–3726. 75. Kouzi, K. and Naït-Saïd, M.S., 2007. Adaptive fuzzy logic speed-sensorless control improvement of induction motor for standstill and low speed operations. COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 26 (1), pp.22–35. 76. Kung, Y.S., 2008. Design and Implementation of a High-Performance PMLSM Drives Using DSP Chip. IEEE Transactions on Industrial Electronics, 55 (3), pp.1341–1351. 77. Kuo, K.S., and Chiu, K.L., 2002. Incremental motion control of synchronous reluctance motor via multisegment sliding mode control method. IEEE Transactions on Control Systems Technology, 10 (2), pp.169–176. 78. Kuo, T.C., Huang, Y.J., and Chang, S.H., 2008. Sliding mode control with self-tuning law for uncertain nonlinear systems. ISA Transactions, 47 (2), pp.171–178. 79. Laamari, Y., Chafaa, K., and Athamena, B., 2015. Particle swarm optimization of an extended Kalman filter for speed and rotor flux estimation of an induction motor drive. Electrical Engineering, 97 (2), pp.129–138. 80. Lee, H. and Utkin, V.I., 2007. Chattering suppression methods in sliding mode control systems. Annual Reviews in Control, 31 (2), pp.179–188. 81. Lee, K., Ahmed, S., and Lukic, S.M., 2016. Universal restart strategy for high-inertia scalar-controlled PMSM drives. IEEE Transactions on Industry Applications, 52 (5), pp.4001–4009. 82. Leonhard, W., 1996. Controlled AC Drives, A Successful Transition From Ideas To Industrial Practice. Control Engineering Practice, 4 (7), pp.897–908. 83. Levant, A. and Alelishvili, L., 2007. Integral High-Order Sliding Modes. IEEE Transactions on Automatic Control, 52 (7), pp.1278–1282. 84. Limaa, F., Kaiser, W., Da Silva, I.N., and De Oliveira, A.A.A., 2014. Open-loop neuro-fuzzy speed estimator applied to vector and scalar induction motor drives. Applied Soft Computing, 21, pp.469–480. 85. Lin, F.-J., Chou, W.-D., and Shyu, K.-K., 2003. Incremental motion control of an induction motor servo drive via a genetic-algorithm-based sliding mode controller. IEE Proceedings - Control Theory and Applications, 150 (3), pp.209–220. 86. Lin, F.-J., Wai, R.-J., and Lin, P.-C., 1999. Robust speed sensorless induction motor drives. IEEE Transaction on Aerospace and Electronic Systems, 35 (2), pp.566–578. 87. Lin, F.-J., Wai, R.-J., and Shieh, H.-J., 1998. Robust control of induction motor drive with rotor time-constant adaptation. Electric Power Systems Research, 47 (1), pp.1–9. 88. Lin, F. and Wai, R., 2002. Robust Control Using Neural Network Uncertainty Observer for Linear Induction Motor Servo Drive. IEEE Transactions on Power Electronics, 17 (2), pp.241–254. 89. Lin, F.J. and Chou, W. Der, 2003. An induction motor servo drive using sliding-mode controller with genetic algorithm. Electric Power Systems Research, 64 (2), pp.93–108. 90. Liu, K.Z., Yokoo, M., Kondo, K., and Zanma, T., 2015. New adaptive vector control methods for induction motors with simpler structure and better performance. Control Theory and Technology, 13 (2), pp.173–183. 91. Luo, Y.C. and Chen, W.X., 2012. Sensorless stator field orientation controlled induction motor drive with a fuzzy speed controller. Computers and Mathematics with Applications, 64 (5), pp.1206–1216. 92. Mahato, B., Jana, K.C., and Thakura, P.R., 2019. Constant V/f Control and Frequency Control of Isolated Winding Induction Motor Using Nine-Level Three-Phase Inverter. Iranian Journal of Science and Technology - Transactions of Electrical Engineering, 43 (1), pp.123–135. 93. Mallik, S., Mallik, K., Barman, A., Maiti, D., Biswas, S.K., Deb, N.K., and Basu, S., 2017. Efficiency and Cost Optimized Design of an Induction Motor Using Genetic Algorithm. IEEE Transactions on Industrial Electronics, 64 (12), pp.9854–9863. 94. Markadeh, G.R.A. and Soltani, J., 2006. Sliding-mode control for speed sensorless induction machine drive using an adaptive nonlinear rotor flux observer. COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 25 (4), pp.940–963. 95. Matsuse, K., Yoshizumi, T., Katsuta, S., and Taniguchi, S., 1999. High-response flux control of direct-field-oriented induction motor with high efficiency taking core loss into account. IEEE Transactions on Industry Applications, 35 (1), pp.62–69. 96. Mekki, H., Benzineb, O., Boukhetala, D., Tadjine, M., and Benbouzid, M., 2015. Sliding mode based fault detection, reconstruction and fault tolerant control scheme for motor systems. ISA Transactions, 57, pp.340–351. 97. Mekrini, Z. and Bri, S., 2016. Performance of an indirect field-oriented control for asynchronous machine. International Journal of Engineering and Technology, 8 (2), pp.726–733. 98. Menaa, M., Touhami, O., Ibtiouen, R., and Fadel, M., 2008. Sensorless direct vector control of an induction motor. Control Engineering Practice, 16 (1), pp.67–77. 99. Mezouar, A., Fellah, M.K., and Hadjeri, S., 2007a. Robust sliding mode control and flux observer for induction motor using singular perturbation. Electrical Engineering, 89 (3), pp.193–203. 100. Mezouar, A., Fellah, M.K., and Hadjeri, S., 2007b. Adaptive sliding mode observer for induction motor using two-time-scale approach. Electric Power Systems Research, 77 (6), pp.604–618. 101. Mishchenko, V.A., 2007. Vector theory of an induction motor. Russian Electrical Engineering, 78 (6), pp.280–286. 102. Mohamed, H.A.F., Yang, S.S., and Moghavvemi, M., 2008. Integral sliding mode control for improved robustness and accuracy of induction motors. IFAC Proceedings Volumes (IFAC-PapersOnline). IFAC. 103. Montanari, M., Peresada, S., and Tilli, A., 2006. A speed-sensorless indirect field-oriented control for induction motors based on high gain speed estimation. Automatica, 42 (10), pp.1637–1650. 104. Mozayan, S.M., Saad, M., Vahedi, H., Fortin-Blanchette, H., and Soltani, M., 2016. Sliding Mode Control of PMSG Wind Turbine Based on Enhanced Exponential Reaching Law. IEEE Transactions on Industrial Electronics, 63 (10), pp.6148–6159. 105. Mu, J., Yan, X., Spurgeon, S.K., and Mao, Z., 2017. Generalised regular form based SMC for nonlinear systems with application to a WMR. IEEE Transactions on Industrial Electronics, 64 (8), pp.6714–6723. 106. Munoz, D. and Sbarbaro, D., 2000. An Adaptive Controller for Discrete Nonlinear Systems. IEEE Transactions on Industrial Electronics, 47 (3), pp.574–581. 107. Naït Saïd, M.S. and Benbouzid, M.E.H., 1999. Induction motors Direct Field Oriented Control with robust on-line tuning of rotor resistance. IEEE Transactions on Energy Conversion, 14 (4), pp.1038–1042. 108. Negm, M.M.M., Bakhashwain, J.M., and Shwehdi, M.H., 2006. Speed control of a three-phase induction motor based on robust optimal preview control theory. IEEE Transactions on Energy Conversion, 21 (1), pp.77–84. 109. Ogasawara, S., Akagi, H., and Nabae, A., 1988. The Generalized Theory of Indirect Vector Control for AC Machines. IEEE Transactions on Industry Applications, 24 (3), pp.470–478. 110. Oguchi, T. and Tanaka, K., 2005. Sliding Mode Control of Nonlinear Systems with Time-Variying Delay. IFAC Proceedings Volumes, 38 (1), pp.736–741. 111. Oveisi, A. and Nestorović, T., 2016. Robust observer-based adaptive fuzzy sliding mode controller. Mechanical Systems and Signal Processing, 76–77 (5), pp.58–71. 112. P. Su, J., 2002. Robust Control of a Class of Non-Linear Cascade Systems: A novel Sliding Mode Approach. IEE Proceedings - Control Theory and Applications, 149 (2), pp.131–136. 113. Panchade, V.M., Chile, R.H., and Patre, B.M., 2013. A survey on sliding mode control strategies for induction motors. Annual Reviews in Control, 37 (2), pp.289–307. 114. Park, C.W. and Kwon, W.H., 2004. Time-delay compensation for induction motor vector control system. Electric Power Systems Research, 68 (3), pp.238–247. 115. Patakor, F.A., Salleh, Z., Sulaiman, M., and Jantan, N., 2016. Auto-tuning Sliding Mode Control for Induction. 2016 8th Computer Science and Electronic Engineering (CEEC), pp.77–82. 116. Patakor, F.A., Sulaiman, M., and Ibrahim, Z., 2011. Adaptive sliding mode for indirect field oriented controlled of induction motor. Proceedings - 2011 IEEE Student Conference on Research and Development, SCOReD 2011, (4), pp.289–293. 117. Pichan, M. and Rastegar, H., 2017. Sliding Mode Control of Four - Leg Inverter with Fixed Switching Frequency for Uninterruptible Power Supply Applications. IEEE Transactions on Industrial Electronics, 64 (8), pp.6805–6814. 118. Pucci, M., 2012. Direct field oriented control of linear induction motors. Electric Power Systems Research, 89, pp.11–22. 119. Ritter, C.M. and Silvino, J.L., 1999. An alternative sensorless field orientation method. IEEE Transactions on Energy Conversion, 14 (4), pp.1335–1340. 120. Rivera, J., Gennaro, S. Di, Gennaro, D., and Gennaro, D., 2017. Discrete-time Field Oriented Control for Induction Motors. 20th IFAC World Congress, 50 (1), pp.15760–15765. 121. Ronanki, D., Rajesh, K., and Parthiban, P., 2012. Simulation of SVPWM based FOC of CSI fed induction motor drive. Students Conference on Engineering and Systems, SCES, pp.1–6. 122. Saghafinia, A., Ping, H.W., Uddin, M.N., Member, S., and Gaied, K.S., 2015. Adaptive Fuzzy Sliding-Mode Control into Chattering-Free IM Drive. IEEE Transactions on Industry Applications, 51 (1), pp.692–701. 123. Dos Santos, T.H., Goedtel, A., Da Silva, S.A.O., and Suetake, M., 2014. Scalar control of an induction motor using a neural sensorless technique. Electric Power Systems Research, 108, pp.322–330. 124. Saravanakumar, R., Vinoth Kumar, K., and Ray, K., 2009. Sliding mode control of induction motor using simulation approach. Internat. J. Control of Comp. Sci. Network Security, 9 (10), pp.93–104. 125. Scelba, G., Testa, A., Cacciato, M., De Caro, S., and Scarcella, G., 2013. Improved space-vector modulation technique for common mode currents reduction. IET Power Electronics, 6 (7), pp.1248–1256. 126. Senol, I., Demirtas, M., Rustemov, S., and Gumus, B., 2005. Position control of induction motor a new-bounded fuzzy sliding mode controller. COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 24 (1), pp.145–157. 127. Seok, J.K., Moon, S.I., and Sul, S.K., 1997. Induction machine parameter identification using PWM inverter at standstill. IEEE Transactions on Energy Conversion, 12 (2), pp.127–132. 128. Shin, H.B. and Park, J.G., 2012. Anti-windup PID controller with integral state predictor for variable-speed motor drives. IEEE Transactions on Industrial Electronics, 59 (3), pp.1509–1516. 129. Strangas, E.G., Khalil, H.K., Al Oliwi, B., Laubinger, L., and Miller, J.M., 1999. A robust torque controller for induction motors without rotor position sensor: Analysis and experimental results. IEEE Transactions on Energy Conversion, 14 (4), pp.1448–1458. 130. Sulaiman, M., Patakor, F.A., and Ibrahim, Z., 2013. A New State-Dependent of Sliding Mode Control for Three-Phase Induction Motor Drives. International Review on Modelling and Simulations (IREMOS), 6 (3), pp.728–735. 131. Sulaiman, M., Patakor, F.A., and Ibrahim, Z., 2015. Dsp Based Implementation of Field Oriented Control of Three-Phase Induction Motor Drives. International Journal of Research in Engineering and Technology, 2 (9), pp.179–186. 132. Suzuki, T. and Chiba, A., 2000. An air-gap-flux-oriented vector controller for stable operation of bearingless induction motors. IEEE Transactions on Industry Applications, 36 (4), pp.1069–1076. 133. Tajoddin, H.R. and Tebianian, H., 2012. UPS parallelizing by applying SVPWM switching method to droop control strategy. 2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings, (June), pp.236–241. 134. Tao, C.W., Chan, M., and Lee, T., 2003. Linear Systems With Mismatched Time-Varying Uncertainties. IEEE Transactions on Systems, Man, and Cybernetics, 33 (2), pp.283–294. 135. Tao, F., Laili, Y., Liu, Y., Feng, Y., Wang, Q., Zhang, L., and Xu, L., 2014. Concept, principle and application of dynamic configuration for intelligent algorithms. IEEE Systems Journal, 8 (1), pp.28–42. 136. Tarchala, G., 2011. Influence of the sign function approximation form on performance of the sliding-mode speed observer for induction motor drive. Proceedings - ISIE 2011: 2011 IEEE International Symposium on Industrial Electronics, pp.1397–1402. 137. Tarchała, G. and Orłowska, K.T., 2013. Sliding Mode Speed Observer for the Induction Motor Drive with Different Sign Function Approximation Forms and Gain Adaptation. Przegląd Elektrotechniczny, 89 (1), pp.1–6. 138. Trentin, A., Zanchetta, P., Gerada, C., Clare, J., and Wheeler, P.W., 2009. Optimized commissioning method for enhanced vector control of high-power induction motor drives. IEEE Transactions on Industrial Electronics, 56 (5), pp.1708–1717. 139. Uddin, M.N., Zhi Rui Huang, and Hossain, A.B.M.S., 2013. Development and Implementation of a Simplified Self-Tuned Neuro–Fuzzy-Based IM Drive. IEEE Transactions on Industry Applications, 50 (1), pp.51–59. 140. Utkin, V., 2016. Discussion Aspects of High-Order Sliding Mode Control. IEEE Transactions on Automatic Control, 61 (3), pp.829–833. 141. Utkin, V.I., 1977. Variable Structure Systems with Sliding Modes. IEEE Transactions on Automatic Control, 22 (2), pp.212–222. 142. Utkin, V.I. and Poznyak, A.S., 2013. Adaptive sliding mode control with application to super-twist algorithm: Equivalent control method. Automatica, 49 (1), pp.39–47. 143. Van, M., 2018. An Enhanced Robust Fault Tolerant Control Based on an Adaptive Fuzzy PID- Nonsingular Fast Terminal Sliding Mode Control for Uncertain Nonlinear Systems. IEEE/ASME Transactions on Mechatronics, 23 (3), pp.1362–1371. 144. Venkataramana, N., Panda, A., and Singh, S.P., 2016. A Three-Level Fuzzy-2 DTC of Induction Motor Drive Using SVPWM. IEEE Transactions on Industrial Electronics, 63 (3), pp.1467–1479. 145. Veselić, B., Peruničić-Draženović, B., and Milosavljevic, Č., 2008. High-performance position control of induction motor using discrete-time sliding-mode control. IEEE Transactions on Industrial Electronics, 55 (11), pp.3809–3817. 146. Vieira, R.P., Gastaldini, C.C., Azzolin, R.Z., and Gründling, H.A., 2012. Discrete-time sliding mode speed observer for sensorless control of induction motor drives. IET Electric Power Applications, 6 (9), pp.681–688. 147. Vijay, M. and Jena, D., 2015. Optimal GA based SMC with adaptive PID sliding surface for robot manipulator. 9th International Conference on Industrial and Information Systems, ICIIS, 17 (1), pp.254–260. 148. Wai, R., 2007. Fuzzy Sliding-Mode Control Using Adaptive Tuning Technique. IEEE Transactions on Industrial Electronics, 54 (1), pp.586–594. 149. Wai, R.J. and Chu, C.C., 2007. Robust Petri fuzzy-neural-network control for linear induction motor drive. IEEE Transactions on Industrial Electronics, 54 (1), pp.177–189. 150. Wang, A., Jia, X., and Dong, S., 2013a. A new exponential reaching law of sliding mode control to improve performance of permanent magnet synchronous motor. IEEE Transactions on Magnetics, 49 (5), pp.2409–2412. 151. Wang, W., Luo, A., Xu, X., Fang, L., Chau, T.M., and Li, Z., 2013b. Space vector pulse-width modulation algorithm and DC-side voltage control strategy of three-phase four-switch active power filters. IET Power Electronics, 6 (1), pp.125–135. 152. Wlas, M., Krzemiński, Z., Guziński, J., Abu-Rub, H., and Toliyat, H.A., 2005. Artificial-neural-network-based sensorless nonlinear control of induction motors. IEEE Transactions on Energy Conversion, 20 (3), pp.520–528. 153. Wu, F. and Zhao, J., 2016. A Real-Time Multiple Open-Circuit Fault Diagnosis Method in Voltage-Source-Inverter Fed Vector Controlled Drives. IEEE Transactions on Power Electronics, 31 (2), pp.1425–1437. 154. Xiu, C., Hou, J., Xu, G., and Zang, Y., 2017. Improved fast global sliding mode control based on the exponential reaching law. Advances in Mechanical Engineering, 9 (2), pp.1–8. 155. Yan, Z., Jin, C., and Utkin, V.I., 2000. Sensorless Sliding-Mode Control of Induction Motors. IEEE Transactions on Industrial Electronics, 47 (6), pp.1286–1297. 156. Yang, S., Ding, D., Li, X., Xie, Z., Zhang, X., and Chang, L., 2017. A Novel Online Parameter Estimation Method for Indirect Field Oriented Induction Motor Drives. IEEE Transactions on Energy Conversion, 32 (4), pp.1562–1573. 157. Yongchang, Z. and Zhengming, Z., 2008. Comparative study of PI, sliding mode and fuzzy logic controller for rotor field oriented controlled induction motor drives. Electrical Machines and Systems, 1 (3), pp.1089–1094. 158. Yu, J., Liu, J., Wu, Z., and Fang, H., 2018. Depth Control of a Bioinspired Robotic Dolphin Based on Sliding Mode Fuzzy Control Method. IEEE Transactions on Industrial Electronics, 65 (3), pp.2429–2438. 159. Zaky, M. and Metwaly, M., 2017. A Performance Investigation of a Four-Switch Three-Phase Inverter-Fed IM Drives at Low Speeds Using Fuzzy Logic and PI Controllers. IEEE Transactions on Power Electronics, 32 (5), pp.3741–3753. 160. Zemmit, A., Messalti, S., and Harrag, A., 2018. A new improved DTC of doubly fed induction machine using GA-based PI controller. Ain Shams Engineering Journal, 9 (4), pp.1877–1885. 161. Zhang, D., Kong, T.C., and Du, R., 2012. A class of second-order sliding mode controller for servo systems. Journal of Control Theory and Applications, 10 (2), pp.268–272. 162. Zhang, H., Liu, G., and Lu, J., 2008. A stator flux-oriented decoupling control scheme for induction motor. 2007 IEEE International Conference on Control and Automation, ICCA, (2), pp.1701–1704. 163. Zhang, J., Lin, Y., and Feng, G., 2015. Analysis and synthesis of memory-based fuzzy sliding mode controllers. IEEE Transactions on Cybernetics, 45 (12), pp.2880–2889. 164. Zhang, J., Zong, Q., and Zhao, Z.-S., 2010a. Higher order sliding mode control with self-tuning law based on integral sliding mode. IET Control Theory & Applications, 4 (7), pp.1282–1289. 165. Zhang, R.H., He, Z.C., Wang, H.W., You, F., and Li, K.N., 2017. Study on Self-Tuning Tyre Friction Control for Developing Main-Servo Loop Integrated Chassis Control System. IEEE Access, 5 (2), pp.6649–6660. 166. Zhang Yan and Utkin, V., 2003. Sliding mode observers for electric machines-an overview. IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02, pp.1842–1847. 167. Zhang, Z., Tang, R., Bai, B., and Xie, D., 2010b. Novel direct torque control based on space vector modulation with adaptive stator flux observer for induction motors. IEEE Transactions on Magnetics, 46 (8), pp.3133–3136. 168. Zhu, J. and Khayati, K., 2016. A new approach for adaptive sliding mode control: Integral/exponential gain law. Transactions of the Institute of Measurement and Control, 38 (4), pp.385–394. 169. Zhu, Y. and Zhu, S., 2014. Adaptive Sliding Mode Control Based on Uncertainty and Disturbance Estimator. Mathematical Problems in Engineering, 14 (1), pp.1–10.

Speed Performance Improvement Of Three-Phase Induction Motor Drives Using Adaptive Sliding Mode Controller

Similar Items